Work

The ClimateCheck Dataset: Mapping Social Media Claims About Climate Change to Corresponding Scholarly Articles

Year: 2025

Type: conference-paper

Abstract: The rapid spread of misinformation on and through social media poses a significant challenge to public understanding of climate change and evidence-based policymaking.While natural language processing techniques have been used to analyse online discourse on climate change, no existing resources link social media claims to scientific literature.Thus, we introduce ClimateCheck, a human-annotated dataset that connects 435 unique, climate-related English claims in lay language to scientific abstracts.Each claim is connected to at least one and at most seventeen abstracts, resulting in 3,048 annotated claim-abstract pairs.The dataset aims to facilitate fact-checking and claim verification by leveraging scholarly document processing to improve access to scientific evidence in online discussions about climate change.

Source: Workshop on Scholarly Document Processing (SDP)

DOI: 10.18653/v1/2025.sdp-1.5

Authors: Raia Abu Ahmad, Aida Usmanova, Georg Rehm

Institutions: Leuphana University of Lüneburg, German Research Centre for Artificial Intelligence, Humboldt-Universität zu Berlin

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Climate action

Open Access status: hybrid

Funder: Deutsche Forschungsgemeinschaft